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GYMBUD

About:

Built using Python, Flask, MySQL, Jinja, HTML, CSS

Installation:

  1. Navigate to your project folder
  2. Open terminal from the folder and run:
    • pip install pipenv
    • pipenv install flask pymysql flask-bcrypt
    • pipenv shell
    • python3 server.py

Usage:

  1. Create an account

    log-in and register

  2. If necessary, resources on healthy bodybuilding diets and daily exercise videos are available for reference

    home page

  3. Start taking note of your exercise

    Exercise note taking

  4. And keep track of your nutrition

    Nutrition note taking

  5. Calculate your BFP

    BFP Calculator

Efficient Note Taking:

  • Developed a modern web-based note-taking application using Python, Flask, MySQL, Jinja, HTML, and CSS for the fitness industry.
  • The application allows users to take notes of their exercise sets and reps, including the exercise name and maximum lifting weight.
  • The save button stores the data in the database and displays the notes ordered by muscle group on the right side.

Nutrition Note Taking:

  • The application allows users to enter the nutrition details of each meal, including meal type, total calories, and protein.
  • Users can add as many meals as they want, and the data will be saved in the database.
  • Using SQL, the application processes the saved data to calculate the total protein intake of the day, which is displayed below the target protein intake set by the user.
  • This feature helps users to monitor and adjust their nutrition intake to support their fitness goals.

Body Fat Percentage Calculator:

  • The application includes an integrated fitness API that allows users to calculate their body fat percentage (BFP).
  • The result displays below the set target BFP, and a BFP chart allows users to compare their results.

Additional Features:

  • The main page of the application includes an integrated YouTube API that allows users to search for exercise videos.
  • The application also includes a fitness receipts API, which allows users to search for healthy recipes that show nutrition details and protein per serving.
  • These additional features enhance the user experience and provide users with more information to support their fitness goals.

Security and validation:

  • Implemented security measures such as password hashing using bcrypt and email validation using Python’s class method to ensure user privacy, protection, and validation for registration and logging-in
  • User can also add, update their profile picture and profile’s information.